Economic, life, and disorder changes: Time‐series analyses

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Abstract
Implicit in recent social science research and political discussions is a model linking the economy to mental disorder through the intervening constructs of life change and trauma. Using time-series analysis of a 16-month survey in Kansas City, Missouri (n = 1,140), economic and noneconomic life events and the Midtown scale were predicted using a variety of economic measures for the standard metropoliton statistical area. Both life event variables and the symptom measure were related positively to unemployment, and absolute economic change measures lagged 1 and 2 months. However, the life event variables were not strongly associated with the Midtown scale. Most striking of the subgroup findings was that, on the Midtown scale, the low-income group was more responsive than the middle-income group to economic fluctuations.

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